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Asking great questions
Stat ( IF 1.7 ) Pub Date : 2022-05-05 , DOI: 10.1002/sta4.471
Eric A. Vance 1 , Ilana M. Trumble 1 , Jessica L. Alzen 2 , Heather S. Smith 3
Affiliation  

The questions we ask and how we ask them will make a difference in how successful we are in meetings, in collaborations and in our careers as statisticians and data scientists. What makes a question good and what makes a good question great? Great questions elicit information useful for accomplishing the tasks of a project and strengthen the statistician–domain expert relationship. Great questions have three parts: the question, the answer and the paraphrasing of the answer to create shared understanding. We discuss three strategies for asking great questions: preface questions with statements about the intent behind asking the question; follow the question with behaviours and actions consistent with the prefaced words including actions such as listening, paraphrasing and summarizing; and model a collaborative relationship via the asking of a great question. We describe the methods and results of a study that shows how questions can be assessed, that statisticians can learn to ask great questions and that those who have learned this skill consider it to be valuable for their careers. We provide practical guidelines for learning how to ask great questions so that statisticians can improve their collaboration skills and thus increase their impact to help address societal challenges.

中文翻译:

提出很好的问题

我们提出的问题以及我们如何提出这些问题将影响我们在会议、合作以及我们作为统计学家和数据科学家的职业生涯中的成功程度。是什么让一个问题变得好,又是什么让一个好问题变得好?伟大的问题会引出对完成项目任务有用的信息,并加强统计学家与领域专家的关系。伟大的问题包含三个部分:问题、答案和答案的释义,以创造共同的理解。我们讨论了提出好问题的三种策略: 在问题前加上关于提问背后意图的陈述;以与前言一致的行为和行动跟随问题,包括听力、释义和总结等行动;并通过提出一个很好的问题来建立协作关系。我们描述了一项研究的方法和结果,该研究显示了如何评估问题,统计学家可以学会提出很好的问题,并且那些学会了这项技能的人认为这对他们的职业生涯很有价值。我们为学习如何提出重要问题提供实用指南,以便统计学家可以提高他们的协作技能,从而增加他们的影响力,以帮助应对社会挑战。
更新日期:2022-05-05
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